This article proposes a novel single image dehazing method using a Type-2 membership
function based similarity function matrix. The proposed method estimates the depth map and …

To decrease contamination from a mixed combination of impulse and Gaussian noise on
color digital images, a novel hybrid filter is proposed. The new technique is composed of two …

Artificial intelligence (AI) offers fuzzy set theory (FST) as one of the popular AI agents and
decision making tools for digital image processing to increase the robustness of vision …

This research paper presents an efficient hybrid framework for the enhancement of X‐ray
images using the DWT (discrete wavelet transform), Gaussian, and Wiener filters. Digital X …

In general, raw image may suffer from various uncertain distortions arising due to many
factors like low dynamic range of imaging device, low illumination, bad weather conditions …

The performance of vision-based algorithms depends on the quality of digital images. The
images corrupt with salt and pepper noise during image acquisition and transmission …

In this letter, a novel method has been proposed to estimate noisiness of a pixel in an image.
The proposed noisiness is based on a robust noisiness measure, which is evaluated using …

In image processing applications, image denoising is an emerging area that recovers the
original image from noisy image, which is essential in the applications like pattern analysis …

Computer vision-based real-time applications demand robust image matching approaches
due to disparity in images. This can be achieved using descriptor vector with scale and …

This chapter presents a single image dehazing method employing a Type-2 membership
function based similarity function matrix. The approach involves estimating the depth map …